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zscaler-mcp-server

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by zscaler

zins_get_casb_app_report

Read-only

Retrieve CASB SaaS application usage analytics to monitor cloud app usage and adoption metrics over customizable time intervals.

Instructions

Provides CASB SaaS application usage analytics, including cloud app usage and cloud service adoption metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_days_agoNoDays ago for start. Default: 9 (7-day interval). API needs 7 or 14 day intervals.
end_days_agoNoDays ago for end. Default: 2. Interval = start - end must be 7 or 14.
start_timeNoALTERNATIVE: Start time as Unix epoch in MILLISECONDS.
end_timeNoALTERNATIVE: End time as Unix epoch in MILLISECONDS.
limitNoMaximum number of application entries to return (1-1000).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The readOnlyHint annotation already informs the agent this is a safe read operation. The description adds no additional behavioral context beyond that, such as data recency, pagination behavior, or API rate limits. While not harmful, it does not enhance the agent's understanding beyond the annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence of 11 words. It efficiently conveys the tool's purpose without extraneous details. Every word contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and readOnlyHint annotation, the description is mostly complete. It defines the tool's domain (CASB app usage) but could benefit from mentioning the time-range parameters' impact. Still, the schema covers those details, so the description is adequate for an agent to understand the tool's role.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter is already documented. The tool description adds no extra meaning about the parameters; it only mentions the high-level output metrics. Baseline 3 is appropriate as no value is added beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Provides CASB SaaS application usage analytics, including cloud app usage and cloud service adoption metrics.' It distinguishes from siblings like zins_get_shadow_it_apps and zins_get_cyber_incidents by focusing on CASB app usage analytics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, typical scenarios, or exclusions. Among many similar 'get' tools, the agent is left to infer usage solely from the tool name and description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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